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Keqiang Niu

dblp:270/9302 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
3 papers
Cloud and datacenter computing · 83% Storage systems · 17%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cloud storage
1.422026
Here, There and Everywhere: The Past, the Present and the Future of Local Storage in Cloud · FAST 2026
Spool: Reliable Virtualized NVMe Storage Pool in Public Cloud Infrastructure · USENIX ATC 2020
Cloud and datacenter computing › cluster resource management and scheduling
cluster resource management
0.812024
CSAL: the Next-Gen Local Disks for the Cloud · EuroSys 2024
Storage systems › flash and SSD
NVMe storage
0.412020
Spool: Reliable Virtualized NVMe Storage Pool in Public Cloud Infrastructure · USENIX ATC 2020

Methods — techniques the papers use, named apart from their topics

storage virtualization · 0.4replication · 0.4
YearPublicationVenuePosition
2026 Here, There and Everywhere: The Past, the Present and the Future of Local Storage in Cloud
Leping Yang, Yanbo Zhou, Gong Zeng, Saisai Zhang, Ruilin Wu, Chaoyang Sun, Shiyi Luo, Keqiang Niu, Junping Wu, Jiaji Zhu, Jiesheng Wu, Mariusz Barczak, Wayne Gao, Ruiming Lu, Erci Xu, Guangtao Xue
FAST10
2024 CSAL: the Next-Gen Local Disks for the Cloud
abstract
Cloud local disks are attractive for their affordable price and high performance. The recent advancement in CPUs motivates cloud vendors to further multiplex the computing resources to serve more users. Unfortunately, such proposals are constrained by the limited offerings of cloud local disks per server as the underlying storage devices are either large but slow (e.g., HDDs) or fast yet small (e.g., NVMe SSDs).
Yanbo Zhou, Erci Xu, Kapil Karkra, Mariusz Barczak, Wayne Gao, Wojciech Malikowski, Mateusz Kozlowski, Lukasz Lasek, Ruiming Lu, Lilong Huang, Keqiang Niu, Jiaji Zhu, Jiesheng Wu
EuroSys14
2020 Spool: Reliable Virtualized NVMe Storage Pool in Public Cloud Infrastructure
Shang Zhao 0003, Quan Chen 0002, Zheng Liu 0022, Tao Ma 0006, Yong Yang 0013, Yanbo Zhou, Keqiang Niu, Sijie Sun, Minyi Guo
USENIX ATC11